{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6d0f7da8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60e552d2",
   "metadata": {},
   "source": [
    "1.读取数据，查看前五行（查看除表头外的前5行）。查看数据类型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "eef1534d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customerID</th>\n",
       "      <th>gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Partner</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>tenure</th>\n",
       "      <th>PhoneService</th>\n",
       "      <th>MultipleLines</th>\n",
       "      <th>InternetService</th>\n",
       "      <th>OnlineSecurity</th>\n",
       "      <th>...</th>\n",
       "      <th>DeviceProtection</th>\n",
       "      <th>TechSupport</th>\n",
       "      <th>StreamingTV</th>\n",
       "      <th>StreamingMovies</th>\n",
       "      <th>Contract</th>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <th>PaymentMethod</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7590-VHVEG</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>29.85</td>\n",
       "      <td>29.85</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5575-GNVDE</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>34</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>56.95</td>\n",
       "      <td>1889.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3668-QPYBK</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>53.85</td>\n",
       "      <td>108.15</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7795-CFOCW</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>45</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>42.30</td>\n",
       "      <td>1840.75</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9237-HQITU</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>70.70</td>\n",
       "      <td>151.65</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   customerID  gender  SeniorCitizen Partner Dependents  tenure PhoneService  \\\n",
       "0  7590-VHVEG  Female              0     Yes         No       1           No   \n",
       "1  5575-GNVDE    Male              0      No         No      34          Yes   \n",
       "2  3668-QPYBK    Male              0      No         No       2          Yes   \n",
       "3  7795-CFOCW    Male              0      No         No      45           No   \n",
       "4  9237-HQITU  Female              0      No         No       2          Yes   \n",
       "\n",
       "      MultipleLines InternetService OnlineSecurity  ... DeviceProtection  \\\n",
       "0  No phone service             DSL             No  ...               No   \n",
       "1                No             DSL            Yes  ...              Yes   \n",
       "2                No             DSL            Yes  ...               No   \n",
       "3  No phone service             DSL            Yes  ...              Yes   \n",
       "4                No     Fiber optic             No  ...               No   \n",
       "\n",
       "  TechSupport StreamingTV StreamingMovies        Contract PaperlessBilling  \\\n",
       "0          No          No              No  Month-to-month              Yes   \n",
       "1          No          No              No        One year               No   \n",
       "2          No          No              No  Month-to-month              Yes   \n",
       "3         Yes          No              No        One year               No   \n",
       "4          No          No              No  Month-to-month              Yes   \n",
       "\n",
       "               PaymentMethod MonthlyCharges  TotalCharges Churn  \n",
       "0           Electronic check          29.85         29.85    No  \n",
       "1               Mailed check          56.95        1889.5    No  \n",
       "2               Mailed check          53.85        108.15   Yes  \n",
       "3  Bank transfer (automatic)          42.30       1840.75    No  \n",
       "4           Electronic check          70.70        151.65   Yes  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('./WA_Fn-UseC_-Telco-Customer-Churn.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a8214a64",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7043 entries, 0 to 7042\n",
      "Data columns (total 21 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   customerID        7043 non-null   object \n",
      " 1   gender            7043 non-null   object \n",
      " 2   SeniorCitizen     7043 non-null   int64  \n",
      " 3   Partner           7043 non-null   object \n",
      " 4   Dependents        7043 non-null   object \n",
      " 5   tenure            7043 non-null   int64  \n",
      " 6   PhoneService      7043 non-null   object \n",
      " 7   MultipleLines     7043 non-null   object \n",
      " 8   InternetService   7043 non-null   object \n",
      " 9   OnlineSecurity    7043 non-null   object \n",
      " 10  OnlineBackup      7043 non-null   object \n",
      " 11  DeviceProtection  7043 non-null   object \n",
      " 12  TechSupport       7043 non-null   object \n",
      " 13  StreamingTV       7043 non-null   object \n",
      " 14  StreamingMovies   7043 non-null   object \n",
      " 15  Contract          7043 non-null   object \n",
      " 16  PaperlessBilling  7043 non-null   object \n",
      " 17  PaymentMethod     7043 non-null   object \n",
      " 18  MonthlyCharges    7043 non-null   float64\n",
      " 19  TotalCharges      7043 non-null   object \n",
      " 20  Churn             7043 non-null   object \n",
      "dtypes: float64(1), int64(2), object(18)\n",
      "memory usage: 1.1+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()   #查看数据类型"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9ffb42b",
   "metadata": {},
   "source": [
    "2.查看数据的最大值、最小值、平均数、四分位数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e47503c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>tenure</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7043.000000</td>\n",
       "      <td>7043.000000</td>\n",
       "      <td>7043.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.162147</td>\n",
       "      <td>32.371149</td>\n",
       "      <td>64.761692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.368612</td>\n",
       "      <td>24.559481</td>\n",
       "      <td>30.090047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>18.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>35.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>70.350000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>89.850000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>118.750000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       SeniorCitizen       tenure  MonthlyCharges\n",
       "count    7043.000000  7043.000000     7043.000000\n",
       "mean        0.162147    32.371149       64.761692\n",
       "std         0.368612    24.559481       30.090047\n",
       "min         0.000000     0.000000       18.250000\n",
       "25%         0.000000     9.000000       35.500000\n",
       "50%         0.000000    29.000000       70.350000\n",
       "75%         0.000000    55.000000       89.850000\n",
       "max         1.000000    72.000000      118.750000"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()   # 查看详细信息，只会查看都是数值类型的列，因为只有数值类型的列才会有平均值那些"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5f2e6706",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customerID</th>\n",
       "      <th>gender</th>\n",
       "      <th>Partner</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>PhoneService</th>\n",
       "      <th>MultipleLines</th>\n",
       "      <th>InternetService</th>\n",
       "      <th>OnlineSecurity</th>\n",
       "      <th>OnlineBackup</th>\n",
       "      <th>DeviceProtection</th>\n",
       "      <th>TechSupport</th>\n",
       "      <th>StreamingTV</th>\n",
       "      <th>StreamingMovies</th>\n",
       "      <th>Contract</th>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <th>PaymentMethod</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>7043</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6531</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>7590-VHVEG</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td></td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>1</td>\n",
       "      <td>3555</td>\n",
       "      <td>3641</td>\n",
       "      <td>4933</td>\n",
       "      <td>6361</td>\n",
       "      <td>3390</td>\n",
       "      <td>3096</td>\n",
       "      <td>3498</td>\n",
       "      <td>3088</td>\n",
       "      <td>3095</td>\n",
       "      <td>3473</td>\n",
       "      <td>2810</td>\n",
       "      <td>2785</td>\n",
       "      <td>3875</td>\n",
       "      <td>4171</td>\n",
       "      <td>2365</td>\n",
       "      <td>11</td>\n",
       "      <td>5174</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        customerID gender Partner Dependents PhoneService MultipleLines  \\\n",
       "count         7043   7043    7043       7043         7043          7043   \n",
       "unique        7043      2       2          2            2             3   \n",
       "top     7590-VHVEG   Male      No         No          Yes            No   \n",
       "freq             1   3555    3641       4933         6361          3390   \n",
       "\n",
       "       InternetService OnlineSecurity OnlineBackup DeviceProtection  \\\n",
       "count             7043           7043         7043             7043   \n",
       "unique               3              3            3                3   \n",
       "top        Fiber optic             No           No               No   \n",
       "freq              3096           3498         3088             3095   \n",
       "\n",
       "       TechSupport StreamingTV StreamingMovies        Contract  \\\n",
       "count         7043        7043            7043            7043   \n",
       "unique           3           3               3               3   \n",
       "top             No          No              No  Month-to-month   \n",
       "freq          3473        2810            2785            3875   \n",
       "\n",
       "       PaperlessBilling     PaymentMethod TotalCharges Churn  \n",
       "count              7043              7043         7043  7043  \n",
       "unique                2                 4         6531     2  \n",
       "top                 Yes  Electronic check                 No  \n",
       "freq               4171              2365           11  5174  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe(include='O')\n",
    "# include='O'中的O不是零，而是大写字母O\n",
    "# 其中答应出来的信息中索引代表的含义：\n",
    "# count:代表某个列一共有多少行数据 \n",
    "# unique：代表不重复的值有多少个，这个非常关键，可以通过这个信息查看这个列有几个值，来断定这列要不要做特征编码，来把object类型转为数值型\n",
    "# 而同时也可以判定我们到底是做独热编码还是label-encoding编码，如果列的值只有两个，那么做label-encoding编码，也就是这个列属于二元属性"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9e9a665",
   "metadata": {},
   "source": [
    "3.查看数据是否存在缺失值，并计算缺失值占比，将缺失值占比超过20%的特征进行删除"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "04337139",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "customerID          0.0\n",
       "gender              0.0\n",
       "SeniorCitizen       0.0\n",
       "Partner             0.0\n",
       "Dependents          0.0\n",
       "tenure              0.0\n",
       "PhoneService        0.0\n",
       "MultipleLines       0.0\n",
       "InternetService     0.0\n",
       "OnlineSecurity      0.0\n",
       "OnlineBackup        0.0\n",
       "DeviceProtection    0.0\n",
       "TechSupport         0.0\n",
       "StreamingTV         0.0\n",
       "StreamingMovies     0.0\n",
       "Contract            0.0\n",
       "PaperlessBilling    0.0\n",
       "PaymentMethod       0.0\n",
       "MonthlyCharges      0.0\n",
       "TotalCharges        0.0\n",
       "Churn               0.0\n",
       "dtype: float64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()/df.shape[0] * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "72f461e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customerID</th>\n",
       "      <th>gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Partner</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>MultipleLines</th>\n",
       "      <th>InternetService</th>\n",
       "      <th>OnlineSecurity</th>\n",
       "      <th>OnlineBackup</th>\n",
       "      <th>DeviceProtection</th>\n",
       "      <th>TechSupport</th>\n",
       "      <th>StreamingTV</th>\n",
       "      <th>StreamingMovies</th>\n",
       "      <th>Contract</th>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <th>PaymentMethod</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7590-VHVEG</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>29.85</td>\n",
       "      <td>29.85</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5575-GNVDE</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>56.95</td>\n",
       "      <td>1889.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3668-QPYBK</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>53.85</td>\n",
       "      <td>108.15</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7795-CFOCW</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>42.30</td>\n",
       "      <td>1840.75</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9237-HQITU</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>70.70</td>\n",
       "      <td>151.65</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7038</th>\n",
       "      <td>6840-RESVB</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>One year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>84.80</td>\n",
       "      <td>1990.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7039</th>\n",
       "      <td>2234-XADUH</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>One year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>103.20</td>\n",
       "      <td>7362.9</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7040</th>\n",
       "      <td>4801-JZAZL</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>29.60</td>\n",
       "      <td>346.45</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7041</th>\n",
       "      <td>8361-LTMKD</td>\n",
       "      <td>Male</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>74.40</td>\n",
       "      <td>306.6</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7042</th>\n",
       "      <td>3186-AJIEK</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Two year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>105.65</td>\n",
       "      <td>6844.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7043 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      customerID  gender  SeniorCitizen Partner Dependents     MultipleLines  \\\n",
       "0     7590-VHVEG  Female              0     Yes         No  No phone service   \n",
       "1     5575-GNVDE    Male              0      No         No                No   \n",
       "2     3668-QPYBK    Male              0      No         No                No   \n",
       "3     7795-CFOCW    Male              0      No         No  No phone service   \n",
       "4     9237-HQITU  Female              0      No         No                No   \n",
       "...          ...     ...            ...     ...        ...               ...   \n",
       "7038  6840-RESVB    Male              0     Yes        Yes               Yes   \n",
       "7039  2234-XADUH  Female              0     Yes        Yes               Yes   \n",
       "7040  4801-JZAZL  Female              0     Yes        Yes  No phone service   \n",
       "7041  8361-LTMKD    Male              1     Yes         No               Yes   \n",
       "7042  3186-AJIEK    Male              0      No         No                No   \n",
       "\n",
       "     InternetService OnlineSecurity OnlineBackup DeviceProtection TechSupport  \\\n",
       "0                DSL             No          Yes               No          No   \n",
       "1                DSL            Yes           No              Yes          No   \n",
       "2                DSL            Yes          Yes               No          No   \n",
       "3                DSL            Yes           No              Yes         Yes   \n",
       "4        Fiber optic             No           No               No          No   \n",
       "...              ...            ...          ...              ...         ...   \n",
       "7038             DSL            Yes           No              Yes         Yes   \n",
       "7039     Fiber optic             No          Yes              Yes          No   \n",
       "7040             DSL            Yes           No               No          No   \n",
       "7041     Fiber optic             No           No               No          No   \n",
       "7042     Fiber optic            Yes           No              Yes         Yes   \n",
       "\n",
       "     StreamingTV StreamingMovies        Contract PaperlessBilling  \\\n",
       "0             No              No  Month-to-month              Yes   \n",
       "1             No              No        One year               No   \n",
       "2             No              No  Month-to-month              Yes   \n",
       "3             No              No        One year               No   \n",
       "4             No              No  Month-to-month              Yes   \n",
       "...          ...             ...             ...              ...   \n",
       "7038         Yes             Yes        One year              Yes   \n",
       "7039         Yes             Yes        One year              Yes   \n",
       "7040          No              No  Month-to-month              Yes   \n",
       "7041          No              No  Month-to-month              Yes   \n",
       "7042         Yes             Yes        Two year              Yes   \n",
       "\n",
       "                  PaymentMethod  MonthlyCharges TotalCharges Churn  \n",
       "0              Electronic check           29.85        29.85    No  \n",
       "1                  Mailed check           56.95       1889.5    No  \n",
       "2                  Mailed check           53.85       108.15   Yes  \n",
       "3     Bank transfer (automatic)           42.30      1840.75    No  \n",
       "4              Electronic check           70.70       151.65   Yes  \n",
       "...                         ...             ...          ...   ...  \n",
       "7038               Mailed check           84.80       1990.5    No  \n",
       "7039    Credit card (automatic)          103.20       7362.9    No  \n",
       "7040           Electronic check           29.60       346.45    No  \n",
       "7041               Mailed check           74.40        306.6   Yes  \n",
       "7042  Bank transfer (automatic)          105.65       6844.5    No  \n",
       "\n",
       "[7043 rows x 19 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#上面没有缺失值，但是如果有缺失值按以下处理\n",
    "# df.dropna(axis=1,thresh=df.shape[0]*0.8) \n",
    "# 因为视频中的文件做了修改，把tenure、PhoneService两列的数据做成了缺失值>20%,我这里为了保持一致，假设这两列缺失值也超过了20%，所以要删\n",
    "df_drop = df.drop(axis=1,columns=['tenure','PhoneService'])\n",
    "df_drop"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09a0f042",
   "metadata": {},
   "source": [
    "4.对缺失值未超过20%的特征进行填充"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6c4edea9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 说明：视频中把InternetService、OnlineSecurity、OnlineBackup、DeviceProtection这几列的数据做了修改，让这几列有了缺失值，但是没超过20%，对这些进行填充\n",
    "# 这里为了和视频保持一致，也做这样的填充处理\n",
    "# 这里做填充可以用三步走的方法，也可以直接用replace填充\n",
    "# 三步走：\n",
    "'''\n",
    "from sklearn.impute import SimpleImputer\n",
    "model_si1 = SimpleImputer(missing_values=np.nan,strategy='most_frequent')\n",
    "df_si1 = model_si1.fit_transform(X=df_drop[['InternetService','OnlineSecurity','OnlineBackup','DeviceProtection']]) #X要求的数据为二维的数据所以使用两个方括号\n",
    "df_si1 = pd.DataFrame(data=df_si1,columns=['InternetService','OnlineSecurity','OnlineBackup','DeviceProtection'])\n",
    "df_drop[['InternetService','OnlineSecurity','OnlineBackup','DeviceProtection']] = df_si1[['InternetService','OnlineSecurity','OnlineBackup','DeviceProtection']]\n",
    "df_drop\n",
    "'''\n",
    "#用replace\n",
    "list_col = ['InternetService','OnlineSecurity','OnlineBackup','DeviceProtection']\n",
    "for col in list_col:\n",
    "    # 把缺失值用众数替换\n",
    "    df_drop[col] = df_drop[col].replace(np.nan,df_drop[col].mode()[0]) #众数可能有多个，所以带下标取第一个"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "20bd06a6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "customerID          0.0\n",
       "gender              0.0\n",
       "SeniorCitizen       0.0\n",
       "Partner             0.0\n",
       "Dependents          0.0\n",
       "MultipleLines       0.0\n",
       "InternetService     0.0\n",
       "OnlineSecurity      0.0\n",
       "OnlineBackup        0.0\n",
       "DeviceProtection    0.0\n",
       "TechSupport         0.0\n",
       "StreamingTV         0.0\n",
       "StreamingMovies     0.0\n",
       "Contract            0.0\n",
       "PaperlessBilling    0.0\n",
       "PaymentMethod       0.0\n",
       "MonthlyCharges      0.0\n",
       "TotalCharges        0.0\n",
       "Churn               0.0\n",
       "dtype: float64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_drop.isnull().sum()/df_drop.shape[0] * 100"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5928bc34",
   "metadata": {},
   "source": [
    "5.通过柱状图查看目标列的分布情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "267648cc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.countplot(x=df_drop['Churn'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "963c68d5",
   "metadata": {},
   "source": [
    "6.通过饼状图查看目标列的分布情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d3ed1ef0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pie(x=df_drop['Churn'].value_counts(),labels=['No','Yes'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f8231f5",
   "metadata": {},
   "source": [
    "7.查看相关性系数(皮尔逊相关性系数)，并绘制热力图，删除相关性大于0.8的列"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a719e966",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 特征选择处理的都是数值类型的数据，做特征选择之前，我们通过下面的人为分析发现 TotalCharges这列应该是数值类型，但有极个别的异常值，\n",
    "# 我们可以选择先处理成数值类型的，即转型，如果转型失败，那么得先处理异常值，这里用众数来替换异常值\n",
    "df_drop['TotalCharges'] = df_drop['TotalCharges'].replace(' ',df_drop['TotalCharges'].mode()[1]) #这里mode(0)为' ',所以不用这个来替换\n",
    "df_drop['TotalCharges'] = df_drop['TotalCharges'].astype(np.float64) #发现报错：ValueError: could not convert string to float: ' '"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "82980385",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7043 entries, 0 to 7042\n",
      "Data columns (total 19 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   customerID        7043 non-null   object \n",
      " 1   gender            7043 non-null   object \n",
      " 2   SeniorCitizen     7043 non-null   int64  \n",
      " 3   Partner           7043 non-null   object \n",
      " 4   Dependents        7043 non-null   object \n",
      " 5   MultipleLines     7043 non-null   object \n",
      " 6   InternetService   7043 non-null   object \n",
      " 7   OnlineSecurity    7043 non-null   object \n",
      " 8   OnlineBackup      7043 non-null   object \n",
      " 9   DeviceProtection  7043 non-null   object \n",
      " 10  TechSupport       7043 non-null   object \n",
      " 11  StreamingTV       7043 non-null   object \n",
      " 12  StreamingMovies   7043 non-null   object \n",
      " 13  Contract          7043 non-null   object \n",
      " 14  PaperlessBilling  7043 non-null   object \n",
      " 15  PaymentMethod     7043 non-null   object \n",
      " 16  MonthlyCharges    7043 non-null   float64\n",
      " 17  TotalCharges      7043 non-null   float64\n",
      " 18  Churn             7043 non-null   object \n",
      "dtypes: float64(2), int64(1), object(16)\n",
      "memory usage: 1.0+ MB\n"
     ]
    }
   ],
   "source": [
    "df_drop.info() #TotalCharges列已转为float类型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "131b7b82",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 删除数据，删除不相关的列,删除人为分析层面无意义的数据，因为相关性系数特征选择只能做数值类型的，非数值类型的做不了，如果是\n",
    "# 其他object等其他类型，可以人为判断分析和目标列有没有关系\n",
    "#这里人为分析出：customerID和目标列一定没关系，所以可以删除这列\n",
    "# df_drop.drop(axis=1,columns=['customerID'],inplace=True)\n",
    "# 还有种删除方法\n",
    "del df_drop['customerID']\n",
    "# df_drop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a329bfc1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Partner</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>MultipleLines</th>\n",
       "      <th>InternetService</th>\n",
       "      <th>OnlineSecurity</th>\n",
       "      <th>OnlineBackup</th>\n",
       "      <th>DeviceProtection</th>\n",
       "      <th>TechSupport</th>\n",
       "      <th>StreamingTV</th>\n",
       "      <th>StreamingMovies</th>\n",
       "      <th>Contract</th>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <th>PaymentMethod</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>29.85</td>\n",
       "      <td>29.85</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>56.95</td>\n",
       "      <td>1889.50</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>53.85</td>\n",
       "      <td>108.15</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>42.30</td>\n",
       "      <td>1840.75</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>70.70</td>\n",
       "      <td>151.65</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7038</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>One year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>84.80</td>\n",
       "      <td>1990.50</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7039</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>One year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>103.20</td>\n",
       "      <td>7362.90</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7040</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>29.60</td>\n",
       "      <td>346.45</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7041</th>\n",
       "      <td>Male</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>74.40</td>\n",
       "      <td>306.60</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7042</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Two year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>105.65</td>\n",
       "      <td>6844.50</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7043 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      gender  SeniorCitizen Partner Dependents     MultipleLines  \\\n",
       "0     Female              0     Yes         No  No phone service   \n",
       "1       Male              0      No         No                No   \n",
       "2       Male              0      No         No                No   \n",
       "3       Male              0      No         No  No phone service   \n",
       "4     Female              0      No         No                No   \n",
       "...      ...            ...     ...        ...               ...   \n",
       "7038    Male              0     Yes        Yes               Yes   \n",
       "7039  Female              0     Yes        Yes               Yes   \n",
       "7040  Female              0     Yes        Yes  No phone service   \n",
       "7041    Male              1     Yes         No               Yes   \n",
       "7042    Male              0      No         No                No   \n",
       "\n",
       "     InternetService OnlineSecurity OnlineBackup DeviceProtection TechSupport  \\\n",
       "0                DSL             No          Yes               No          No   \n",
       "1                DSL            Yes           No              Yes          No   \n",
       "2                DSL            Yes          Yes               No          No   \n",
       "3                DSL            Yes           No              Yes         Yes   \n",
       "4        Fiber optic             No           No               No          No   \n",
       "...              ...            ...          ...              ...         ...   \n",
       "7038             DSL            Yes           No              Yes         Yes   \n",
       "7039     Fiber optic             No          Yes              Yes          No   \n",
       "7040             DSL            Yes           No               No          No   \n",
       "7041     Fiber optic             No           No               No          No   \n",
       "7042     Fiber optic            Yes           No              Yes         Yes   \n",
       "\n",
       "     StreamingTV StreamingMovies        Contract PaperlessBilling  \\\n",
       "0             No              No  Month-to-month              Yes   \n",
       "1             No              No        One year               No   \n",
       "2             No              No  Month-to-month              Yes   \n",
       "3             No              No        One year               No   \n",
       "4             No              No  Month-to-month              Yes   \n",
       "...          ...             ...             ...              ...   \n",
       "7038         Yes             Yes        One year              Yes   \n",
       "7039         Yes             Yes        One year              Yes   \n",
       "7040          No              No  Month-to-month              Yes   \n",
       "7041          No              No  Month-to-month              Yes   \n",
       "7042         Yes             Yes        Two year              Yes   \n",
       "\n",
       "                  PaymentMethod  MonthlyCharges  TotalCharges Churn  \n",
       "0              Electronic check           29.85         29.85    No  \n",
       "1                  Mailed check           56.95       1889.50    No  \n",
       "2                  Mailed check           53.85        108.15   Yes  \n",
       "3     Bank transfer (automatic)           42.30       1840.75    No  \n",
       "4              Electronic check           70.70        151.65   Yes  \n",
       "...                         ...             ...           ...   ...  \n",
       "7038               Mailed check           84.80       1990.50    No  \n",
       "7039    Credit card (automatic)          103.20       7362.90    No  \n",
       "7040           Electronic check           29.60        346.45    No  \n",
       "7041               Mailed check           74.40        306.60   Yes  \n",
       "7042  Bank transfer (automatic)          105.65       6844.50    No  \n",
       "\n",
       "[7043 rows x 18 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_drop # 已经删掉customerID列"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "90fb827a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gender</th>\n",
       "      <th>Partner</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>MultipleLines</th>\n",
       "      <th>InternetService</th>\n",
       "      <th>OnlineSecurity</th>\n",
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       "      <th>StreamingTV</th>\n",
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       "      <th>Contract</th>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <th>PaymentMethod</th>\n",
       "      <th>Churn</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7043</td>\n",
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       "      <th>unique</th>\n",
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       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>3555</td>\n",
       "      <td>3641</td>\n",
       "      <td>4933</td>\n",
       "      <td>3390</td>\n",
       "      <td>3096</td>\n",
       "      <td>3498</td>\n",
       "      <td>3088</td>\n",
       "      <td>3095</td>\n",
       "      <td>3473</td>\n",
       "      <td>2810</td>\n",
       "      <td>2785</td>\n",
       "      <td>3875</td>\n",
       "      <td>4171</td>\n",
       "      <td>2365</td>\n",
       "      <td>5174</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       gender Partner Dependents MultipleLines InternetService OnlineSecurity  \\\n",
       "count    7043    7043       7043          7043            7043           7043   \n",
       "unique      2       2          2             3               3              3   \n",
       "top      Male      No         No            No     Fiber optic             No   \n",
       "freq     3555    3641       4933          3390            3096           3498   \n",
       "\n",
       "       OnlineBackup DeviceProtection TechSupport StreamingTV StreamingMovies  \\\n",
       "count          7043             7043        7043        7043            7043   \n",
       "unique            3                3           3           3               3   \n",
       "top              No               No          No          No              No   \n",
       "freq           3088             3095        3473        2810            2785   \n",
       "\n",
       "              Contract PaperlessBilling     PaymentMethod Churn  \n",
       "count             7043             7043              7043  7043  \n",
       "unique               3                2                 4     2  \n",
       "top     Month-to-month              Yes  Electronic check    No  \n",
       "freq              3875             4171              2365  5174  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 有些人为分析不出来，但是也是非数值类型的数据，可以用特征编码转为数值类型的，然后再用相关性系数看\n",
    "# 我们可以用desribe('O')来分析是用哪种特征编码\n",
    "\n",
    "# include='O'中的O不是零，而是大写字母O\n",
    "# 其中答应出来的信息中索引代表的含义：\n",
    "# count:代表某个列一共有多少行数据 \n",
    "# unique：代表不重复的值有多少个，这个非常关键，可以通过这个信息查看这个列有几个值，来断定这列要不要做特征编码，来把object类型转为数值型\n",
    "# 而同时也可以判定我们到底是做独热编码还是label-encoding编码，如果列的值只有两个，那么做label-encoding编码，也就是这个列属于二元属性\n",
    "df_drop.describe(include=['O'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e8debb8d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 目标列一般不做特征编码  ,做特征编码，把object类型的列都拿出来\n",
    "list_c = []\n",
    "df_drop.dtypes\n",
    "# for col in df_drop.columns:\n",
    "#     if df_drop[col].dtypes == 'object' and col!= 'Churn':\n",
    "#         list_c.append(col)\n",
    "# 也可以用列表表达式\n",
    "list_c = [col for col in df_drop.columns if df_drop[col].dtypes == 'object' and col!= 'Churn']\n",
    "for col in list_c:\n",
    "#     factorize是pandas中提供的一个方法，会把所有的值依次映射成0,1,2,3,4,...,所谓依次就是这一列有几个去重后的值，那么就按顺序映射成0,1,2,3,4,...,\n",
    "    df_drop[col] = pd.factorize(df_drop[col])[0] # 取下标为0就是取去映射后的这一列数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "0bd51c90",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>56.95</td>\n",
       "      <td>1889.50</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
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       "      <td>53.85</td>\n",
       "      <td>108.15</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>42.30</td>\n",
       "      <td>1840.75</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>70.70</td>\n",
       "      <td>151.65</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7038</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>84.80</td>\n",
       "      <td>1990.50</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7039</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>103.20</td>\n",
       "      <td>7362.90</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7040</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>29.60</td>\n",
       "      <td>346.45</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7041</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>74.40</td>\n",
       "      <td>306.60</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7042</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>105.65</td>\n",
       "      <td>6844.50</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7043 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      gender  SeniorCitizen  Partner  Dependents  MultipleLines  \\\n",
       "0          0              0        0           0              0   \n",
       "1          1              0        1           0              1   \n",
       "2          1              0        1           0              1   \n",
       "3          1              0        1           0              0   \n",
       "4          0              0        1           0              1   \n",
       "...      ...            ...      ...         ...            ...   \n",
       "7038       1              0        0           1              2   \n",
       "7039       0              0        0           1              2   \n",
       "7040       0              0        0           1              0   \n",
       "7041       1              1        0           0              2   \n",
       "7042       1              0        1           0              1   \n",
       "\n",
       "      InternetService  OnlineSecurity  OnlineBackup  DeviceProtection  \\\n",
       "0                   0               0             0                 0   \n",
       "1                   0               1             1                 1   \n",
       "2                   0               1             0                 0   \n",
       "3                   0               1             1                 1   \n",
       "4                   1               0             1                 0   \n",
       "...               ...             ...           ...               ...   \n",
       "7038                0               1             1                 1   \n",
       "7039                1               0             0                 1   \n",
       "7040                0               1             1                 0   \n",
       "7041                1               0             1                 0   \n",
       "7042                1               1             1                 1   \n",
       "\n",
       "      TechSupport  StreamingTV  StreamingMovies  Contract  PaperlessBilling  \\\n",
       "0               0            0                0         0                 0   \n",
       "1               0            0                0         1                 1   \n",
       "2               0            0                0         0                 0   \n",
       "3               1            0                0         1                 1   \n",
       "4               0            0                0         0                 0   \n",
       "...           ...          ...              ...       ...               ...   \n",
       "7038            1            1                1         1                 0   \n",
       "7039            0            1                1         1                 0   \n",
       "7040            0            0                0         0                 0   \n",
       "7041            0            0                0         0                 0   \n",
       "7042            1            1                1         2                 0   \n",
       "\n",
       "      PaymentMethod  MonthlyCharges  TotalCharges Churn  \n",
       "0                 0           29.85         29.85    No  \n",
       "1                 1           56.95       1889.50    No  \n",
       "2                 1           53.85        108.15   Yes  \n",
       "3                 2           42.30       1840.75    No  \n",
       "4                 0           70.70        151.65   Yes  \n",
       "...             ...             ...           ...   ...  \n",
       "7038              1           84.80       1990.50    No  \n",
       "7039              3          103.20       7362.90    No  \n",
       "7040              0           29.60        346.45    No  \n",
       "7041              1           74.40        306.60   Yes  \n",
       "7042              2          105.65       6844.50    No  \n",
       "\n",
       "[7043 rows x 18 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_drop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "7b2b0063",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7043 entries, 0 to 7042\n",
      "Data columns (total 18 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   gender            7043 non-null   int64  \n",
      " 1   SeniorCitizen     7043 non-null   int64  \n",
      " 2   Partner           7043 non-null   int64  \n",
      " 3   Dependents        7043 non-null   int64  \n",
      " 4   MultipleLines     7043 non-null   int64  \n",
      " 5   InternetService   7043 non-null   int64  \n",
      " 6   OnlineSecurity    7043 non-null   int64  \n",
      " 7   OnlineBackup      7043 non-null   int64  \n",
      " 8   DeviceProtection  7043 non-null   int64  \n",
      " 9   TechSupport       7043 non-null   int64  \n",
      " 10  StreamingTV       7043 non-null   int64  \n",
      " 11  StreamingMovies   7043 non-null   int64  \n",
      " 12  Contract          7043 non-null   int64  \n",
      " 13  PaperlessBilling  7043 non-null   int64  \n",
      " 14  PaymentMethod     7043 non-null   int64  \n",
      " 15  MonthlyCharges    7043 non-null   float64\n",
      " 16  TotalCharges      7043 non-null   float64\n",
      " 17  Churn             7043 non-null   object \n",
      "dtypes: float64(2), int64(15), object(1)\n",
      "memory usage: 990.5+ KB\n"
     ]
    }
   ],
   "source": [
    "df_drop.info() # 现在都变成了int类型了，那么这些之前非数值类型的列也可以做相关系数了"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "ced96e99",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\lenovo\\AppData\\Local\\Temp\\ipykernel_21620\\1478908587.py:2: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
      "  cor = df_drop.corr()\n"
     ]
    },
    {
     "data": {
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       "      <td>-0.317518</td>\n",
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       "      <td>1.000000</td>\n",
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       "      <td>0.044590</td>\n",
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       "      <td>0.062100</td>\n",
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       "      <td>-0.154370</td>\n",
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       "      <td>0.003183</td>\n",
       "      <td>-0.710477</td>\n",
       "      <td>-0.537214</td>\n",
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       "      <td>0.156439</td>\n",
       "      <td>-0.013069</td>\n",
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       "      <td>1.000000</td>\n",
       "      <td>0.767970</td>\n",
       "      <td>0.763279</td>\n",
       "      <td>0.766821</td>\n",
       "      <td>0.390216</td>\n",
       "      <td>0.276326</td>\n",
       "      <td>0.191746</td>\n",
       "      <td>-0.513440</td>\n",
       "      <td>-0.078601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TechSupport</th>\n",
       "      <td>0.000985</td>\n",
       "      <td>-0.223770</td>\n",
       "      <td>-0.069072</td>\n",
       "      <td>0.180832</td>\n",
       "      <td>-0.066684</td>\n",
       "      <td>0.609795</td>\n",
       "      <td>0.791225</td>\n",
       "      <td>0.617003</td>\n",
       "      <td>0.767970</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.737578</td>\n",
       "      <td>0.737123</td>\n",
       "      <td>0.418440</td>\n",
       "      <td>0.310749</td>\n",
       "      <td>0.216878</td>\n",
       "      <td>-0.597594</td>\n",
       "      <td>-0.142166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StreamingTV</th>\n",
       "      <td>0.001156</td>\n",
       "      <td>-0.130130</td>\n",
       "      <td>-0.080127</td>\n",
       "      <td>0.140395</td>\n",
       "      <td>0.030195</td>\n",
       "      <td>0.712890</td>\n",
       "      <td>0.701976</td>\n",
       "      <td>0.604117</td>\n",
       "      <td>0.763279</td>\n",
       "      <td>0.737578</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.809608</td>\n",
       "      <td>0.327951</td>\n",
       "      <td>0.203907</td>\n",
       "      <td>0.117618</td>\n",
       "      <td>-0.423067</td>\n",
       "      <td>-0.076855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StreamingMovies</th>\n",
       "      <td>-0.000191</td>\n",
       "      <td>-0.120802</td>\n",
       "      <td>-0.075779</td>\n",
       "      <td>0.125820</td>\n",
       "      <td>0.028187</td>\n",
       "      <td>0.709020</td>\n",
       "      <td>0.704984</td>\n",
       "      <td>0.606863</td>\n",
       "      <td>0.766821</td>\n",
       "      <td>0.737123</td>\n",
       "      <td>0.809608</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.330993</td>\n",
       "      <td>0.211818</td>\n",
       "      <td>0.123869</td>\n",
       "      <td>-0.424598</td>\n",
       "      <td>-0.073155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Contract</th>\n",
       "      <td>0.000126</td>\n",
       "      <td>-0.142554</td>\n",
       "      <td>-0.294806</td>\n",
       "      <td>0.243187</td>\n",
       "      <td>0.083343</td>\n",
       "      <td>0.099721</td>\n",
       "      <td>0.389978</td>\n",
       "      <td>0.035407</td>\n",
       "      <td>0.390216</td>\n",
       "      <td>0.418440</td>\n",
       "      <td>0.327951</td>\n",
       "      <td>0.330993</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.176733</td>\n",
       "      <td>0.358913</td>\n",
       "      <td>-0.074195</td>\n",
       "      <td>0.446882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <td>0.011754</td>\n",
       "      <td>-0.156530</td>\n",
       "      <td>-0.014877</td>\n",
       "      <td>0.111377</td>\n",
       "      <td>-0.133255</td>\n",
       "      <td>0.138625</td>\n",
       "      <td>0.334003</td>\n",
       "      <td>0.260715</td>\n",
       "      <td>0.276326</td>\n",
       "      <td>0.310749</td>\n",
       "      <td>0.203907</td>\n",
       "      <td>0.211818</td>\n",
       "      <td>0.176733</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.101480</td>\n",
       "      <td>-0.352150</td>\n",
       "      <td>-0.158568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PaymentMethod</th>\n",
       "      <td>-0.005209</td>\n",
       "      <td>-0.093704</td>\n",
       "      <td>-0.133115</td>\n",
       "      <td>0.123844</td>\n",
       "      <td>0.025676</td>\n",
       "      <td>0.008124</td>\n",
       "      <td>0.213800</td>\n",
       "      <td>0.003183</td>\n",
       "      <td>0.191746</td>\n",
       "      <td>0.216878</td>\n",
       "      <td>0.117618</td>\n",
       "      <td>0.123869</td>\n",
       "      <td>0.358913</td>\n",
       "      <td>0.101480</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.074353</td>\n",
       "      <td>0.222401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <td>-0.014569</td>\n",
       "      <td>0.220173</td>\n",
       "      <td>-0.096848</td>\n",
       "      <td>-0.113890</td>\n",
       "      <td>0.490700</td>\n",
       "      <td>-0.323260</td>\n",
       "      <td>-0.621227</td>\n",
       "      <td>-0.710477</td>\n",
       "      <td>-0.513440</td>\n",
       "      <td>-0.597594</td>\n",
       "      <td>-0.423067</td>\n",
       "      <td>-0.424598</td>\n",
       "      <td>-0.074195</td>\n",
       "      <td>-0.352150</td>\n",
       "      <td>-0.074353</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.651172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TotalCharges</th>\n",
       "      <td>-0.000079</td>\n",
       "      <td>0.103001</td>\n",
       "      <td>-0.317518</td>\n",
       "      <td>0.062100</td>\n",
       "      <td>0.412106</td>\n",
       "      <td>-0.175753</td>\n",
       "      <td>-0.154370</td>\n",
       "      <td>-0.537214</td>\n",
       "      <td>-0.078601</td>\n",
       "      <td>-0.142166</td>\n",
       "      <td>-0.076855</td>\n",
       "      <td>-0.073155</td>\n",
       "      <td>0.446882</td>\n",
       "      <td>-0.158568</td>\n",
       "      <td>0.222401</td>\n",
       "      <td>0.651172</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    gender  SeniorCitizen   Partner  Dependents  \\\n",
       "gender            1.000000      -0.001874  0.001808    0.010517   \n",
       "SeniorCitizen    -0.001874       1.000000 -0.016479   -0.211185   \n",
       "Partner           0.001808      -0.016479  1.000000   -0.452676   \n",
       "Dependents        0.010517      -0.211185 -0.452676    1.000000   \n",
       "MultipleLines    -0.009451       0.113791 -0.117307   -0.019657   \n",
       "InternetService  -0.000863      -0.032310 -0.000891    0.044590   \n",
       "OnlineSecurity   -0.003429      -0.210897 -0.081850    0.190523   \n",
       "OnlineBackup      0.012230      -0.144828  0.090753    0.062775   \n",
       "DeviceProtection  0.005092      -0.157095 -0.094451    0.156439   \n",
       "TechSupport       0.000985      -0.223770 -0.069072    0.180832   \n",
       "StreamingTV       0.001156      -0.130130 -0.080127    0.140395   \n",
       "StreamingMovies  -0.000191      -0.120802 -0.075779    0.125820   \n",
       "Contract          0.000126      -0.142554 -0.294806    0.243187   \n",
       "PaperlessBilling  0.011754      -0.156530 -0.014877    0.111377   \n",
       "PaymentMethod    -0.005209      -0.093704 -0.133115    0.123844   \n",
       "MonthlyCharges   -0.014569       0.220173 -0.096848   -0.113890   \n",
       "TotalCharges     -0.000079       0.103001 -0.317518    0.062100   \n",
       "\n",
       "                  MultipleLines  InternetService  OnlineSecurity  \\\n",
       "gender                -0.009451        -0.000863       -0.003429   \n",
       "SeniorCitizen          0.113791        -0.032310       -0.210897   \n",
       "Partner               -0.117307        -0.000891       -0.081850   \n",
       "Dependents            -0.019657         0.044590        0.190523   \n",
       "MultipleLines          1.000000         0.186826       -0.066844   \n",
       "InternetService        0.186826         1.000000        0.607788   \n",
       "OnlineSecurity        -0.066844         0.607788        1.000000   \n",
       "OnlineBackup          -0.130619         0.650962        0.621739   \n",
       "DeviceProtection      -0.013069         0.662957        0.749040   \n",
       "TechSupport           -0.066684         0.609795        0.791225   \n",
       "StreamingTV            0.030195         0.712890        0.701976   \n",
       "StreamingMovies        0.028187         0.709020        0.704984   \n",
       "Contract               0.083343         0.099721        0.389978   \n",
       "PaperlessBilling      -0.133255         0.138625        0.334003   \n",
       "PaymentMethod          0.025676         0.008124        0.213800   \n",
       "MonthlyCharges         0.490700        -0.323260       -0.621227   \n",
       "TotalCharges           0.412106        -0.175753       -0.154370   \n",
       "\n",
       "                  OnlineBackup  DeviceProtection  TechSupport  StreamingTV  \\\n",
       "gender                0.012230          0.005092     0.000985     0.001156   \n",
       "SeniorCitizen        -0.144828         -0.157095    -0.223770    -0.130130   \n",
       "Partner               0.090753         -0.094451    -0.069072    -0.080127   \n",
       "Dependents            0.062775          0.156439     0.180832     0.140395   \n",
       "MultipleLines        -0.130619         -0.013069    -0.066684     0.030195   \n",
       "InternetService       0.650962          0.662957     0.609795     0.712890   \n",
       "OnlineSecurity        0.621739          0.749040     0.791225     0.701976   \n",
       "OnlineBackup          1.000000          0.601503     0.617003     0.604117   \n",
       "DeviceProtection      0.601503          1.000000     0.767970     0.763279   \n",
       "TechSupport           0.617003          0.767970     1.000000     0.737578   \n",
       "StreamingTV           0.604117          0.763279     0.737578     1.000000   \n",
       "StreamingMovies       0.606863          0.766821     0.737123     0.809608   \n",
       "Contract              0.035407          0.390216     0.418440     0.327951   \n",
       "PaperlessBilling      0.260715          0.276326     0.310749     0.203907   \n",
       "PaymentMethod         0.003183          0.191746     0.216878     0.117618   \n",
       "MonthlyCharges       -0.710477         -0.513440    -0.597594    -0.423067   \n",
       "TotalCharges         -0.537214         -0.078601    -0.142166    -0.076855   \n",
       "\n",
       "                  StreamingMovies  Contract  PaperlessBilling  PaymentMethod  \\\n",
       "gender                  -0.000191  0.000126          0.011754      -0.005209   \n",
       "SeniorCitizen           -0.120802 -0.142554         -0.156530      -0.093704   \n",
       "Partner                 -0.075779 -0.294806         -0.014877      -0.133115   \n",
       "Dependents               0.125820  0.243187          0.111377       0.123844   \n",
       "MultipleLines            0.028187  0.083343         -0.133255       0.025676   \n",
       "InternetService          0.709020  0.099721          0.138625       0.008124   \n",
       "OnlineSecurity           0.704984  0.389978          0.334003       0.213800   \n",
       "OnlineBackup             0.606863  0.035407          0.260715       0.003183   \n",
       "DeviceProtection         0.766821  0.390216          0.276326       0.191746   \n",
       "TechSupport              0.737123  0.418440          0.310749       0.216878   \n",
       "StreamingTV              0.809608  0.327951          0.203907       0.117618   \n",
       "StreamingMovies          1.000000  0.330993          0.211818       0.123869   \n",
       "Contract                 0.330993  1.000000          0.176733       0.358913   \n",
       "PaperlessBilling         0.211818  0.176733          1.000000       0.101480   \n",
       "PaymentMethod            0.123869  0.358913          0.101480       1.000000   \n",
       "MonthlyCharges          -0.424598 -0.074195         -0.352150      -0.074353   \n",
       "TotalCharges            -0.073155  0.446882         -0.158568       0.222401   \n",
       "\n",
       "                  MonthlyCharges  TotalCharges  \n",
       "gender                 -0.014569     -0.000079  \n",
       "SeniorCitizen           0.220173      0.103001  \n",
       "Partner                -0.096848     -0.317518  \n",
       "Dependents             -0.113890      0.062100  \n",
       "MultipleLines           0.490700      0.412106  \n",
       "InternetService        -0.323260     -0.175753  \n",
       "OnlineSecurity         -0.621227     -0.154370  \n",
       "OnlineBackup           -0.710477     -0.537214  \n",
       "DeviceProtection       -0.513440     -0.078601  \n",
       "TechSupport            -0.597594     -0.142166  \n",
       "StreamingTV            -0.423067     -0.076855  \n",
       "StreamingMovies        -0.424598     -0.073155  \n",
       "Contract               -0.074195      0.446882  \n",
       "PaperlessBilling       -0.352150     -0.158568  \n",
       "PaymentMethod          -0.074353      0.222401  \n",
       "MonthlyCharges          1.000000      0.651172  \n",
       "TotalCharges            0.651172      1.000000  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看相关性系数\n",
    "cor = df_drop.corr()\n",
    "cor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "0a95066b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 上面列太多了，看相关性系数不好看，我们可以绘制热力图看\n",
    "# 绘制热力图\n",
    "plt.figure(figsize=(20,8))\n",
    "sns.heatmap(cor,annot=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "243430de",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 删除相关性系数大于0.8的列  删除StreamingTV、StreamingMovies中的一行\n",
    "del df_drop['StreamingTV']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "09b471dd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "gender              0\n",
       "SeniorCitizen       0\n",
       "Partner             0\n",
       "Dependents          0\n",
       "MultipleLines       0\n",
       "InternetService     0\n",
       "OnlineSecurity      0\n",
       "OnlineBackup        0\n",
       "DeviceProtection    0\n",
       "TechSupport         0\n",
       "StreamingMovies     0\n",
       "Contract            0\n",
       "PaperlessBilling    0\n",
       "PaymentMethod       0\n",
       "MonthlyCharges      0\n",
       "TotalCharges        0\n",
       "Churn               0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_drop.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f7286c7",
   "metadata": {},
   "source": [
    "8.拆分训练集和测试集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "5d11f27e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 先纵向拆分，把目标列和非目标列拆分\n",
    "X = df_drop.drop(axis=1,columns=['Churn'])  #非目标列\n",
    "y = df_drop['Churn']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "cb4a1b71",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 横向拆分成训练集和测试集\n",
    "from sklearn.model_selection import train_test_split\n",
    "# 测试集的拆分比例  random_state随机种子，随便取值，保证每次拆分都是一样的\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c9c8c66",
   "metadata": {},
   "source": [
    "9.使用KNN算法进行建模"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "84fcfe59",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      ],
      "text/plain": [
       "KNeighborsClassifier()"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier  # 分类算法  分类器\n",
    "from sklearn.neighbors import KNeighborsRegressor   # 回归算法  回归器\n",
    "\n",
    "# 建模\n",
    "model_knn = KNeighborsClassifier()\n",
    "model_knn.fit(X=X_train,y=y_train)\n",
    "model_knn.predict()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1768970",
   "metadata": {},
   "source": [
    "10.使用score()方法对模型进行评分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "90e01f97",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\lenovo\\AppData\\Roaming\\Python\\Python310\\site-packages\\sklearn\\neighbors\\_classification.py:237: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n",
      "  mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.7671557027922385"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_knn.score(X=X_test,y=y_test)"
   ]
  }
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